Overview

Brought to you by YData

Dataset statistics

Number of variables24
Number of observations30
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.9 KiB
Average record size in memory200.0 B

Variable types

TimeSeries18
Numeric6

Timeseries statistics

Number of series18
Time series length30
Starting point1752346200000
Ending point1752347940000
Period60000
2025-07-22T19:49:48.354674image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T19:49:48.455265image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Alerts

close is highly overall correlated with ema_14 and 16 other fieldsHigh correlation
ema_14 is highly overall correlated with close and 15 other fieldsHigh correlation
ema_21 is highly overall correlated with close and 15 other fieldsHigh correlation
ema_60 is highly overall correlated with close and 15 other fieldsHigh correlation
ema_7 is highly overall correlated with close and 15 other fieldsHigh correlation
high is highly overall correlated with close and 16 other fieldsHigh correlation
low is highly overall correlated with close and 16 other fieldsHigh correlation
macd_7 is highly overall correlated with close and 7 other fieldsHigh correlation
macdhist_7 is highly overall correlated with rsi_7High correlation
macdsignal_7 is highly overall correlated with close and 15 other fieldsHigh correlation
obv is highly overall correlated with volumeHigh correlation
open is highly overall correlated with close and 16 other fieldsHigh correlation
rsi_21 is highly overall correlated with close and 17 other fieldsHigh correlation
rsi_60 is highly overall correlated with close and 15 other fieldsHigh correlation
rsi_7 is highly overall correlated with macd_7 and 2 other fieldsHigh correlation
sma_14 is highly overall correlated with close and 15 other fieldsHigh correlation
sma_21 is highly overall correlated with close and 15 other fieldsHigh correlation
sma_60 is highly overall correlated with close and 15 other fieldsHigh correlation
sma_7 is highly overall correlated with close and 15 other fieldsHigh correlation
volume is highly overall correlated with obvHigh correlation
window_end_ms is highly overall correlated with close and 15 other fieldsHigh correlation
window_start_ms is highly overall correlated with close and 15 other fieldsHigh correlation
open is non stationary Non stationary
high is non stationary Non stationary
low is non stationary Non stationary
close is non stationary Non stationary
window_start_ms is non stationary Non stationary
window_end_ms is non stationary Non stationary
sma_14 is non stationary Non stationary
sma_21 is non stationary Non stationary
sma_60 is non stationary Non stationary
ema_14 is non stationary Non stationary
ema_21 is non stationary Non stationary
ema_60 is non stationary Non stationary
rsi_21 is non stationary Non stationary
macd_7 is non stationary Non stationary
macdsignal_7 is non stationary Non stationary
macdhist_7 is non stationary Non stationary
macdhist_7 is seasonal Seasonal
window_start_ms is uniformly distributed Uniform
window_end_ms is uniformly distributed Uniform
window_start_ms has unique values Unique
window_end_ms has unique values Unique
volume has unique values Unique
sma_7 has unique values Unique
sma_14 has unique values Unique
sma_21 has unique values Unique
sma_60 has unique values Unique
ema_7 has unique values Unique
ema_14 has unique values Unique
ema_21 has unique values Unique
ema_60 has unique values Unique
rsi_7 has unique values Unique
rsi_14 has unique values Unique
rsi_21 has unique values Unique
macd_7 has unique values Unique
macdsignal_7 has unique values Unique
macdhist_7 has unique values Unique
obv has unique values Unique

Reproduction

Analysis started2025-07-22 18:49:29.485106
Analysis finished2025-07-22 18:49:48.310168
Duration18.83 seconds
Software versionydata-profiling vv4.16.1
Download configurationconfig.json

Variables

open
Numeric time series

High correlation  Non stationary 

Distinct28
Distinct (%)93.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2500.6633
Minimum2497.62
Maximum2502.65
Zeros0
Zeros (%)0.0%
Memory size480.0 B
2025-07-22T19:49:48.547921image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum2497.62
5-th percentile2498.0715
Q12499.7275
median2501.2
Q32501.9325
95-th percentile2502.1255
Maximum2502.65
Range5.03
Interquartile range (IQR)2.205

Descriptive statistics

Standard deviation1.4882374
Coefficient of variation (CV)0.00059513705
Kurtosis-0.86110338
Mean2500.6633
Median Absolute Deviation (MAD)0.88
Skewness-0.6785153
Sum75019.9
Variance2.2148506
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value0.4160535377
2025-07-22T19:49:48.586490image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
2025-07-22T19:49:48.704773image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Gap statistics

number of gaps0
min0
max0
mean0
std0
2025-07-22T19:49:48.728548image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
2498.56 3
 
10.0%
2501.21 1
 
3.3%
2499.95 1
 
3.3%
2500.2 1
 
3.3%
2497.62 1
 
3.3%
2498.11 1
 
3.3%
2498.04 1
 
3.3%
2499.66 1
 
3.3%
2500.69 1
 
3.3%
2499.94 1
 
3.3%
Other values (18) 18
60.0%
ValueCountFrequency (%)
2497.62 1
 
3.3%
2498.04 1
 
3.3%
2498.11 1
 
3.3%
2498.56 3
10.0%
2499.63 1
 
3.3%
2499.66 1
 
3.3%
2499.93 1
 
3.3%
2499.94 1
 
3.3%
2499.95 1
 
3.3%
2500.2 1
 
3.3%
ValueCountFrequency (%)
2502.65 1
3.3%
2502.13 1
3.3%
2502.12 1
3.3%
2502.04 1
3.3%
2502 1
3.3%
2501.99 1
3.3%
2501.98 1
3.3%
2501.94 1
3.3%
2501.91 1
3.3%
2501.9 1
3.3%
2025-07-22T19:49:48.618879image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ACF and PACF

high
Numeric time series

High correlation  Non stationary 

Distinct26
Distinct (%)86.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2501.1893
Minimum2498.08
Maximum2502.73
Zeros0
Zeros (%)0.0%
Memory size480.0 B
2025-07-22T19:49:48.771071image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum2498.08
5-th percentile2498.373
Q12500.575
median2501.815
Q32502.3075
95-th percentile2502.6765
Maximum2502.73
Range4.65
Interquartile range (IQR)1.7325

Descriptive statistics

Standard deviation1.4815158
Coefficient of variation (CV)0.00059232455
Kurtosis-0.24408366
Mean2501.1893
Median Absolute Deviation (MAD)0.715
Skewness-0.99073801
Sum75035.68
Variance2.1948892
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value0.5381990256
2025-07-22T19:49:48.810949image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
2025-07-22T19:49:48.923976image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Gap statistics

number of gaps0
min0
max0
mean0
std0
2025-07-22T19:49:48.949531image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
2502.13 4
 
13.3%
2498.56 2
 
6.7%
2501.11 1
 
3.3%
2499.95 1
 
3.3%
2498.22 1
 
3.3%
2498.08 1
 
3.3%
2498.57 1
 
3.3%
2500.87 1
 
3.3%
2500.27 1
 
3.3%
2501.23 1
 
3.3%
Other values (16) 16
53.3%
ValueCountFrequency (%)
2498.08 1
3.3%
2498.22 1
3.3%
2498.56 2
6.7%
2498.57 1
3.3%
2499.95 1
3.3%
2500.27 1
3.3%
2500.53 1
3.3%
2500.71 1
3.3%
2500.87 1
3.3%
2500.98 1
3.3%
ValueCountFrequency (%)
2502.73 1
3.3%
2502.69 1
3.3%
2502.66 1
3.3%
2502.54 1
3.3%
2502.49 1
3.3%
2502.47 1
3.3%
2502.39 1
3.3%
2502.32 1
3.3%
2502.27 1
3.3%
2502.17 1
3.3%
2025-07-22T19:49:48.840248image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ACF and PACF

low
Numeric time series

High correlation  Non stationary 

Distinct27
Distinct (%)90.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2500.3557
Minimum2496.58
Maximum2502.13
Zeros0
Zeros (%)0.0%
Memory size480.0 B
2025-07-22T19:49:48.995470image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum2496.58
5-th percentile2497.5965
Q12499.615
median2501.005
Q32501.5375
95-th percentile2501.98
Maximum2502.13
Range5.55
Interquartile range (IQR)1.9225

Descriptive statistics

Standard deviation1.5987337
Coefficient of variation (CV)0.00063940253
Kurtosis-0.43076676
Mean2500.3557
Median Absolute Deviation (MAD)0.93
Skewness-0.85592821
Sum75010.67
Variance2.5559495
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value0.5708089508
2025-07-22T19:49:49.038652image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
2025-07-22T19:49:49.158523image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Gap statistics

number of gaps0
min0
max0
mean0
std0
2025-07-22T19:49:49.186819image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
2501.18 2
 
6.7%
2501.89 2
 
6.7%
2501.98 2
 
6.7%
2496.58 1
 
3.3%
2497.52 1
 
3.3%
2497.87 1
 
3.3%
2498.55 1
 
3.3%
2498.39 1
 
3.3%
2500.84 1
 
3.3%
2499.94 1
 
3.3%
Other values (17) 17
56.7%
ValueCountFrequency (%)
2496.58 1
3.3%
2497.52 1
3.3%
2497.69 1
3.3%
2497.87 1
3.3%
2498.39 1
3.3%
2498.55 1
3.3%
2498.56 1
3.3%
2499.61 1
3.3%
2499.63 1
3.3%
2499.66 1
3.3%
ValueCountFrequency (%)
2502.13 1
3.3%
2501.98 2
6.7%
2501.89 2
6.7%
2501.88 1
3.3%
2501.86 1
3.3%
2501.54 1
3.3%
2501.53 1
3.3%
2501.49 1
3.3%
2501.42 1
3.3%
2501.25 1
3.3%
2025-07-22T19:49:49.071108image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ACF and PACF

close
Numeric time series

High correlation  Non stationary 

Distinct28
Distinct (%)93.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2500.7777
Minimum2497.12
Maximum2502.73
Zeros0
Zeros (%)0.0%
Memory size480.0 B
2025-07-22T19:49:49.231917image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum2497.12
5-th percentile2497.602
Q12499.8875
median2501.475
Q32502.0875
95-th percentile2502.556
Maximum2502.73
Range5.61
Interquartile range (IQR)2.2

Descriptive statistics

Standard deviation1.659588
Coefficient of variation (CV)0.00066362876
Kurtosis-0.42163047
Mean2500.7777
Median Absolute Deviation (MAD)0.725
Skewness-0.88632699
Sum75023.33
Variance2.7542323
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value0.4859262155
2025-07-22T19:49:49.273403image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
2025-07-22T19:49:49.395589image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Gap statistics

number of gaps0
min0
max0
mean0
std0
2025-07-22T19:49:49.424323image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
2502.13 2
 
6.7%
2501.98 2
 
6.7%
2501.23 1
 
3.3%
2499.94 1
 
3.3%
2497.53 1
 
3.3%
2498.57 1
 
3.3%
2498.55 1
 
3.3%
2498.49 1
 
3.3%
2499.87 1
 
3.3%
2500.26 1
 
3.3%
Other values (18) 18
60.0%
ValueCountFrequency (%)
2497.12 1
3.3%
2497.53 1
3.3%
2497.69 1
3.3%
2498.49 1
3.3%
2498.55 1
3.3%
2498.57 1
3.3%
2499.61 1
3.3%
2499.87 1
3.3%
2499.94 1
3.3%
2500.14 1
3.3%
ValueCountFrequency (%)
2502.73 1
3.3%
2502.61 1
3.3%
2502.49 1
3.3%
2502.16 1
3.3%
2502.13 2
6.7%
2502.12 1
3.3%
2502.11 1
3.3%
2502.02 1
3.3%
2501.98 2
6.7%
2501.92 1
3.3%
2025-07-22T19:49:49.303784image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ACF and PACF

window_start_ms
Numeric time series

High correlation  Non stationary  Uniform  Unique 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.7523471 × 1012
Minimum1.7523462 × 1012
Maximum1.7523479 × 1012
Zeros0
Zeros (%)0.0%
Memory size480.0 B
2025-07-22T19:49:49.640721image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum1.7523462 × 1012
5-th percentile1.7523463 × 1012
Q11.7523466 × 1012
median1.7523471 × 1012
Q31.7523475 × 1012
95-th percentile1.7523479 × 1012
Maximum1.7523479 × 1012
Range1740000
Interquartile range (IQR)870000

Descriptive statistics

Standard deviation528204.51
Coefficient of variation (CV)3.0142688 × 10-7
Kurtosis-1.2
Mean1.7523471 × 1012
Median Absolute Deviation (MAD)450000
Skewness0
Sum5.2570412 × 1013
Variance2.79 × 1011
MonotonicityStrictly increasing
Augmented Dickey-Fuller test p-value0.9585319224
2025-07-22T19:49:49.690626image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
2025-07-22T19:49:49.819697image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Gap statistics

number of gaps0
min0
max0
mean0
std0
2025-07-22T19:49:49.847722image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
1.7523462 × 10121
 
3.3%
1.75234626 × 10121
 
3.3%
1.75234632 × 10121
 
3.3%
1.75234638 × 10121
 
3.3%
1.75234644 × 10121
 
3.3%
1.7523465 × 10121
 
3.3%
1.75234656 × 10121
 
3.3%
1.75234662 × 10121
 
3.3%
1.75234668 × 10121
 
3.3%
1.75234674 × 10121
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
1.7523462 × 10121
3.3%
1.75234626 × 10121
3.3%
1.75234632 × 10121
3.3%
1.75234638 × 10121
3.3%
1.75234644 × 10121
3.3%
1.7523465 × 10121
3.3%
1.75234656 × 10121
3.3%
1.75234662 × 10121
3.3%
1.75234668 × 10121
3.3%
1.75234674 × 10121
3.3%
ValueCountFrequency (%)
1.75234794 × 10121
3.3%
1.75234788 × 10121
3.3%
1.75234782 × 10121
3.3%
1.75234776 × 10121
3.3%
1.7523477 × 10121
3.3%
1.75234764 × 10121
3.3%
1.75234758 × 10121
3.3%
1.75234752 × 10121
3.3%
1.75234746 × 10121
3.3%
1.7523474 × 10121
3.3%
2025-07-22T19:49:49.725648image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ACF and PACF

window_end_ms
Numeric time series

High correlation  Non stationary  Uniform  Unique 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.7523471 × 1012
Minimum1.7523463 × 1012
Maximum1.752348 × 1012
Zeros0
Zeros (%)0.0%
Memory size480.0 B
2025-07-22T19:49:49.899595image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum1.7523463 × 1012
5-th percentile1.7523463 × 1012
Q11.7523467 × 1012
median1.7523471 × 1012
Q31.7523476 × 1012
95-th percentile1.7523479 × 1012
Maximum1.752348 × 1012
Range1740000
Interquartile range (IQR)870000

Descriptive statistics

Standard deviation528204.51
Coefficient of variation (CV)3.0142687 × 10-7
Kurtosis-1.2
Mean1.7523471 × 1012
Median Absolute Deviation (MAD)450000
Skewness0
Sum5.2570414 × 1013
Variance2.79 × 1011
MonotonicityStrictly increasing
Augmented Dickey-Fuller test p-value0.9585347709
2025-07-22T19:49:49.945986image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
2025-07-22T19:49:50.063577image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Gap statistics

number of gaps0
min0
max0
mean0
std0
2025-07-22T19:49:50.090824image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
1.75234626 × 10121
 
3.3%
1.75234632 × 10121
 
3.3%
1.75234638 × 10121
 
3.3%
1.75234644 × 10121
 
3.3%
1.7523465 × 10121
 
3.3%
1.75234656 × 10121
 
3.3%
1.75234662 × 10121
 
3.3%
1.75234668 × 10121
 
3.3%
1.75234674 × 10121
 
3.3%
1.7523468 × 10121
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
1.75234626 × 10121
3.3%
1.75234632 × 10121
3.3%
1.75234638 × 10121
3.3%
1.75234644 × 10121
3.3%
1.7523465 × 10121
3.3%
1.75234656 × 10121
3.3%
1.75234662 × 10121
3.3%
1.75234668 × 10121
3.3%
1.75234674 × 10121
3.3%
1.7523468 × 10121
3.3%
ValueCountFrequency (%)
1.752348 × 10121
3.3%
1.75234794 × 10121
3.3%
1.75234788 × 10121
3.3%
1.75234782 × 10121
3.3%
1.75234776 × 10121
3.3%
1.7523477 × 10121
3.3%
1.75234764 × 10121
3.3%
1.75234758 × 10121
3.3%
1.75234752 × 10121
3.3%
1.75234746 × 10121
3.3%
2025-07-22T19:49:49.977054image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ACF and PACF

volume
Real number (ℝ)

High correlation  Unique 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.61556467
Minimum0.02674551
Maximum7.4149775
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size480.0 B
2025-07-22T19:49:50.133655image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.02674551
5-th percentile0.052499363
Q10.16097047
median0.26429199
Q30.6971696
95-th percentile1.0410948
Maximum7.4149775
Range7.388232
Interquartile range (IQR)0.53619913

Descriptive statistics

Standard deviation1.3229332
Coefficient of variation (CV)2.1491376
Kurtosis26.276795
Mean0.61556467
Median Absolute Deviation (MAD)0.150816
Skewness4.9903737
Sum18.46694
Variance1.7501522
MonotonicityNot monotonic
2025-07-22T19:49:50.176567image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
7.41497747 1
 
3.3%
0.98534589 1
 
3.3%
0.95229495 1
 
3.3%
0.91305697 1
 
3.3%
0.20624248 1
 
3.3%
0.04495964 1
 
3.3%
0.16646663 1
 
3.3%
0.14580148 1
 
3.3%
0.40712784 1
 
3.3%
0.35939545 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
0.02674551 1
3.3%
0.04495964 1
3.3%
0.06171458 1
3.3%
0.06274133 1
3.3%
0.10549585 1
3.3%
0.12221671 1
3.3%
0.14580148 1
3.3%
0.15913841 1
3.3%
0.16646663 1
3.3%
0.16805417 1
3.3%
ValueCountFrequency (%)
7.41497747 1
3.3%
1.08670747 1
3.3%
0.98534589 1
3.3%
0.95229495 1
3.3%
0.91305697 1
3.3%
0.7754895 1
3.3%
0.77408227 1
3.3%
0.72980225 1
3.3%
0.59927165 1
3.3%
0.46296986 1
3.3%

sma_7
Numeric time series

High correlation  Unique 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2500.6084
Minimum2498.26
Maximum2502.0171
Zeros0
Zeros (%)0.0%
Memory size480.0 B
2025-07-22T19:49:50.221472image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum2498.26
5-th percentile2498.4307
Q12499.6243
median2501.2379
Q32501.7218
95-th percentile2501.992
Maximum2502.0171
Range3.7571429
Interquartile range (IQR)2.0975

Descriptive statistics

Standard deviation1.2715476
Coefficient of variation (CV)0.00050849528
Kurtosis-1.22617
Mean2500.6084
Median Absolute Deviation (MAD)0.75357143
Skewness-0.51485292
Sum75018.251
Variance1.6168332
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value0.02231666036
2025-07-22T19:49:50.266651image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
2025-07-22T19:49:50.390709image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Gap statistics

number of gaps0
min0
max0
mean0
std0
2025-07-22T19:49:50.418000image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
2499.834286 1
 
3.3%
2500.17 1
 
3.3%
2499.898571 1
 
3.3%
2499.727143 1
 
3.3%
2499.59 1
 
3.3%
2499.22 1
 
3.3%
2498.661429 1
 
3.3%
2498.27 1
 
3.3%
2498.26 1
 
3.3%
2498.627143 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
2498.26 1
3.3%
2498.27 1
3.3%
2498.627143 1
3.3%
2498.661429 1
3.3%
2499.14 1
3.3%
2499.22 1
3.3%
2499.437143 1
3.3%
2499.59 1
3.3%
2499.727143 1
3.3%
2499.834286 1
3.3%
ValueCountFrequency (%)
2502.017143 1
3.3%
2501.997143 1
3.3%
2501.985714 1
3.3%
2501.948571 1
3.3%
2501.842857 1
3.3%
2501.79 1
3.3%
2501.754286 1
3.3%
2501.75 1
3.3%
2501.637143 1
3.3%
2501.59 1
3.3%
2025-07-22T19:49:50.302197image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ACF and PACF

sma_14
Numeric time series

High correlation  Non stationary  Unique 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2500.2456
Minimum2498.9707
Maximum2501.87
Zeros0
Zeros (%)0.0%
Memory size480.0 B
2025-07-22T19:49:50.460769image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum2498.9707
5-th percentile2498.9867
Q12499.2893
median2499.7514
Q32501.4141
95-th percentile2501.78
Maximum2501.87
Range2.8992857
Interquartile range (IQR)2.1248214

Descriptive statistics

Standard deviation1.0875863
Coefficient of variation (CV)0.00043499177
Kurtosis-1.6189059
Mean2500.2456
Median Absolute Deviation (MAD)0.73678571
Skewness0.33740349
Sum75007.369
Variance1.1828439
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value0.8542573653
2025-07-22T19:49:50.513492image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
2025-07-22T19:49:50.650289image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Gap statistics

number of gaps0
min0
max0
mean0
std0
2025-07-22T19:49:50.682624image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
2499.412857 1
 
3.3%
2499.368571 1
 
3.3%
2499.179286 1
 
3.3%
2499.062143 1
 
3.3%
2498.991429 1
 
3.3%
2498.970714 1
 
3.3%
2498.982857 1
 
3.3%
2499.052143 1
 
3.3%
2499.215 1
 
3.3%
2499.262857 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
2498.970714 1
3.3%
2498.982857 1
3.3%
2498.991429 1
3.3%
2499.052143 1
3.3%
2499.062143 1
3.3%
2499.179286 1
3.3%
2499.215 1
3.3%
2499.262857 1
3.3%
2499.368571 1
3.3%
2499.412857 1
3.3%
ValueCountFrequency (%)
2501.87 1
3.3%
2501.796429 1
3.3%
2501.76 1
3.3%
2501.757143 1
3.3%
2501.710714 1
3.3%
2501.69 1
3.3%
2501.59 1
3.3%
2501.454286 1
3.3%
2501.293571 1
3.3%
2501.033571 1
3.3%
2025-07-22T19:49:50.550060image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ACF and PACF

sma_21
Numeric time series

High correlation  Non stationary  Unique 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2499.9536
Minimum2498.9952
Maximum2501.6352
Zeros0
Zeros (%)0.0%
Memory size480.0 B
2025-07-22T19:49:50.728565image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum2498.9952
5-th percentile2499.0138
Q12499.2556
median2499.835
Q32500.3805
95-th percentile2501.4465
Maximum2501.6352
Range2.64
Interquartile range (IQR)1.124881

Descriptive statistics

Standard deviation0.83514666
Coefficient of variation (CV)0.00033406486
Kurtosis-0.8821557
Mean2499.9536
Median Absolute Deviation (MAD)0.57333333
Skewness0.58931369
Sum74998.609
Variance0.69746994
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value0.9638126182
2025-07-22T19:49:50.773299image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
2025-07-22T19:49:50.900569image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Gap statistics

number of gaps0
min0
max0
mean0
std0
2025-07-22T19:49:50.928061image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
2499.27381 1
 
3.3%
2499.356667 1
 
3.3%
2499.332857 1
 
3.3%
2499.281429 1
 
3.3%
2499.249524 1
 
3.3%
2499.156667 1
 
3.3%
2499.111429 1
 
3.3%
2499.031905 1
 
3.3%
2498.999048 1
 
3.3%
2498.995238 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
2498.995238 1
3.3%
2498.999048 1
3.3%
2499.031905 1
3.3%
2499.088095 1
3.3%
2499.111429 1
3.3%
2499.14 1
3.3%
2499.156667 1
3.3%
2499.249524 1
3.3%
2499.27381 1
3.3%
2499.281429 1
3.3%
ValueCountFrequency (%)
2501.635238 1
3.3%
2501.534762 1
3.3%
2501.338571 1
3.3%
2501.196667 1
3.3%
2501.059048 1
3.3%
2500.84 1
3.3%
2500.602381 1
3.3%
2500.389524 1
3.3%
2500.353333 1
3.3%
2500.337619 1
3.3%
2025-07-22T19:49:50.805605image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ACF and PACF

sma_60
Numeric time series

High correlation  Non stationary  Unique 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2498.6624
Minimum2498.0677
Maximum2499.4743
Zeros0
Zeros (%)0.0%
Memory size480.0 B
2025-07-22T19:49:50.971278image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum2498.0677
5-th percentile2498.1277
Q12498.226
median2498.6011
Q32499.0482
95-th percentile2499.3849
Maximum2499.4743
Range1.4066667
Interquartile range (IQR)0.822125

Descriptive statistics

Standard deviation0.46112645
Coefficient of variation (CV)0.00018454932
Kurtosis-1.3955982
Mean2498.6624
Median Absolute Deviation (MAD)0.39816667
Skewness0.31853323
Sum74959.872
Variance0.2126376
MonotonicityStrictly increasing
Augmented Dickey-Fuller test p-value1
2025-07-22T19:49:51.018159image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
2025-07-22T19:49:51.144517image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Gap statistics

number of gaps0
min0
max0
mean0
std0
2025-07-22T19:49:51.173651image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
2498.067667 1
 
3.3%
2498.117167 1
 
3.3%
2498.140667 1
 
3.3%
2498.155167 1
 
3.3%
2498.176667 1
 
3.3%
2498.193167 1
 
3.3%
2498.209333 1
 
3.3%
2498.2245 1
 
3.3%
2498.230667 1
 
3.3%
2498.254333 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
2498.067667 1
3.3%
2498.117167 1
3.3%
2498.140667 1
3.3%
2498.155167 1
3.3%
2498.176667 1
3.3%
2498.193167 1
3.3%
2498.209333 1
3.3%
2498.2245 1
3.3%
2498.230667 1
3.3%
2498.254333 1
3.3%
ValueCountFrequency (%)
2499.474333 1
3.3%
2499.4115 1
3.3%
2499.3525 1
3.3%
2499.292333 1
3.3%
2499.261 1
3.3%
2499.187 1
3.3%
2499.123 1
3.3%
2499.062333 1
3.3%
2499.005667 1
3.3%
2498.949 1
3.3%
2025-07-22T19:49:51.054082image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ACF and PACF

ema_7
Numeric time series

High correlation  Unique 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2500.6084
Minimum2498.26
Maximum2502.0171
Zeros0
Zeros (%)0.0%
Memory size480.0 B
2025-07-22T19:49:51.216197image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum2498.26
5-th percentile2498.4307
Q12499.6243
median2501.2379
Q32501.7218
95-th percentile2501.992
Maximum2502.0171
Range3.7571429
Interquartile range (IQR)2.0975

Descriptive statistics

Standard deviation1.2715476
Coefficient of variation (CV)0.00050849528
Kurtosis-1.22617
Mean2500.6084
Median Absolute Deviation (MAD)0.75357143
Skewness-0.51485292
Sum75018.251
Variance1.6168332
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value0.02231666036
2025-07-22T19:49:51.261180image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
2025-07-22T19:49:51.394361image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Gap statistics

number of gaps0
min0
max0
mean0
std0
2025-07-22T19:49:51.425743image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
2499.834286 1
 
3.3%
2500.17 1
 
3.3%
2499.898571 1
 
3.3%
2499.727143 1
 
3.3%
2499.59 1
 
3.3%
2499.22 1
 
3.3%
2498.661429 1
 
3.3%
2498.27 1
 
3.3%
2498.26 1
 
3.3%
2498.627143 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
2498.26 1
3.3%
2498.27 1
3.3%
2498.627143 1
3.3%
2498.661429 1
3.3%
2499.14 1
3.3%
2499.22 1
3.3%
2499.437143 1
3.3%
2499.59 1
3.3%
2499.727143 1
3.3%
2499.834286 1
3.3%
ValueCountFrequency (%)
2502.017143 1
3.3%
2501.997143 1
3.3%
2501.985714 1
3.3%
2501.948571 1
3.3%
2501.842857 1
3.3%
2501.79 1
3.3%
2501.754286 1
3.3%
2501.75 1
3.3%
2501.637143 1
3.3%
2501.59 1
3.3%
2025-07-22T19:49:51.296407image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ACF and PACF

ema_14
Numeric time series

High correlation  Non stationary  Unique 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2500.2456
Minimum2498.9707
Maximum2501.87
Zeros0
Zeros (%)0.0%
Memory size480.0 B
2025-07-22T19:49:51.476601image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum2498.9707
5-th percentile2498.9867
Q12499.2893
median2499.7514
Q32501.4141
95-th percentile2501.78
Maximum2501.87
Range2.8992857
Interquartile range (IQR)2.1248214

Descriptive statistics

Standard deviation1.0875863
Coefficient of variation (CV)0.00043499177
Kurtosis-1.6189059
Mean2500.2456
Median Absolute Deviation (MAD)0.73678571
Skewness0.33740349
Sum75007.369
Variance1.1828439
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value0.8542573653
2025-07-22T19:49:51.521947image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
2025-07-22T19:49:51.813645image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Gap statistics

number of gaps0
min0
max0
mean0
std0
2025-07-22T19:49:51.839538image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
2499.412857 1
 
3.3%
2499.368571 1
 
3.3%
2499.179286 1
 
3.3%
2499.062143 1
 
3.3%
2498.991429 1
 
3.3%
2498.970714 1
 
3.3%
2498.982857 1
 
3.3%
2499.052143 1
 
3.3%
2499.215 1
 
3.3%
2499.262857 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
2498.970714 1
3.3%
2498.982857 1
3.3%
2498.991429 1
3.3%
2499.052143 1
3.3%
2499.062143 1
3.3%
2499.179286 1
3.3%
2499.215 1
3.3%
2499.262857 1
3.3%
2499.368571 1
3.3%
2499.412857 1
3.3%
ValueCountFrequency (%)
2501.87 1
3.3%
2501.796429 1
3.3%
2501.76 1
3.3%
2501.757143 1
3.3%
2501.710714 1
3.3%
2501.69 1
3.3%
2501.59 1
3.3%
2501.454286 1
3.3%
2501.293571 1
3.3%
2501.033571 1
3.3%
2025-07-22T19:49:51.554062image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ACF and PACF

ema_21
Numeric time series

High correlation  Non stationary  Unique 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2499.9536
Minimum2498.9952
Maximum2501.6352
Zeros0
Zeros (%)0.0%
Memory size480.0 B
2025-07-22T19:49:51.879508image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum2498.9952
5-th percentile2499.0138
Q12499.2556
median2499.835
Q32500.3805
95-th percentile2501.4465
Maximum2501.6352
Range2.64
Interquartile range (IQR)1.124881

Descriptive statistics

Standard deviation0.83514666
Coefficient of variation (CV)0.00033406486
Kurtosis-0.8821557
Mean2499.9536
Median Absolute Deviation (MAD)0.57333333
Skewness0.58931369
Sum74998.609
Variance0.69746994
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value0.9638126182
2025-07-22T19:49:51.924442image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
2025-07-22T19:49:52.039316image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Gap statistics

number of gaps0
min0
max0
mean0
std0
2025-07-22T19:49:52.065779image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
2499.27381 1
 
3.3%
2499.356667 1
 
3.3%
2499.332857 1
 
3.3%
2499.281429 1
 
3.3%
2499.249524 1
 
3.3%
2499.156667 1
 
3.3%
2499.111429 1
 
3.3%
2499.031905 1
 
3.3%
2498.999048 1
 
3.3%
2498.995238 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
2498.995238 1
3.3%
2498.999048 1
3.3%
2499.031905 1
3.3%
2499.088095 1
3.3%
2499.111429 1
3.3%
2499.14 1
3.3%
2499.156667 1
3.3%
2499.249524 1
3.3%
2499.27381 1
3.3%
2499.281429 1
3.3%
ValueCountFrequency (%)
2501.635238 1
3.3%
2501.534762 1
3.3%
2501.338571 1
3.3%
2501.196667 1
3.3%
2501.059048 1
3.3%
2500.84 1
3.3%
2500.602381 1
3.3%
2500.389524 1
3.3%
2500.353333 1
3.3%
2500.337619 1
3.3%
2025-07-22T19:49:51.953597image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ACF and PACF

ema_60
Numeric time series

High correlation  Non stationary  Unique 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2498.6624
Minimum2498.0677
Maximum2499.4743
Zeros0
Zeros (%)0.0%
Memory size480.0 B
2025-07-22T19:49:52.109981image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum2498.0677
5-th percentile2498.1277
Q12498.226
median2498.6011
Q32499.0482
95-th percentile2499.3849
Maximum2499.4743
Range1.4066667
Interquartile range (IQR)0.822125

Descriptive statistics

Standard deviation0.46112645
Coefficient of variation (CV)0.00018454932
Kurtosis-1.3955982
Mean2498.6624
Median Absolute Deviation (MAD)0.39816667
Skewness0.31853323
Sum74959.872
Variance0.2126376
MonotonicityStrictly increasing
Augmented Dickey-Fuller test p-value1
2025-07-22T19:49:52.154710image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
2025-07-22T19:49:52.278031image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Gap statistics

number of gaps0
min0
max0
mean0
std0
2025-07-22T19:49:52.311210image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
2498.067667 1
 
3.3%
2498.117167 1
 
3.3%
2498.140667 1
 
3.3%
2498.155167 1
 
3.3%
2498.176667 1
 
3.3%
2498.193167 1
 
3.3%
2498.209333 1
 
3.3%
2498.2245 1
 
3.3%
2498.230667 1
 
3.3%
2498.254333 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
2498.067667 1
3.3%
2498.117167 1
3.3%
2498.140667 1
3.3%
2498.155167 1
3.3%
2498.176667 1
3.3%
2498.193167 1
3.3%
2498.209333 1
3.3%
2498.2245 1
3.3%
2498.230667 1
3.3%
2498.254333 1
3.3%
ValueCountFrequency (%)
2499.474333 1
3.3%
2499.4115 1
3.3%
2499.3525 1
3.3%
2499.292333 1
3.3%
2499.261 1
3.3%
2499.187 1
3.3%
2499.123 1
3.3%
2499.062333 1
3.3%
2499.005667 1
3.3%
2498.949 1
3.3%
2025-07-22T19:49:52.187298image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ACF and PACF

rsi_7
Real number (ℝ)

High correlation  Unique 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean56.509346
Minimum16.010499
Maximum97.866667
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size480.0 B
2025-07-22T19:49:52.349036image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum16.010499
5-th percentile23.279868
Q145.612703
median56.71822
Q370.474695
95-th percentile82.731505
Maximum97.866667
Range81.856168
Interquartile range (IQR)24.861992

Descriptive statistics

Standard deviation19.45739
Coefficient of variation (CV)0.34432162
Kurtosis-0.23353266
Mean56.509346
Median Absolute Deviation (MAD)12.351913
Skewness-0.159969
Sum1695.2804
Variance378.59001
MonotonicityNot monotonic
2025-07-22T19:49:52.387852image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
71.29735936 1
 
3.3%
61.83282981 1
 
3.3%
40.66797642 1
 
3.3%
43.67088608 1
 
3.3%
45.0617284 1
 
3.3%
33.99258344 1
 
3.3%
21.29221733 1
 
3.3%
25.70921986 1
 
3.3%
49.38917976 1
 
3.3%
83.20413437 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
16.01049869 1
3.3%
21.29221733 1
3.3%
25.70921986 1
3.3%
31.48148148 1
3.3%
33.99258344 1
3.3%
40.66797642 1
3.3%
43.67088608 1
3.3%
45.0617284 1
3.3%
47.265625 1
3.3%
49.38917976 1
3.3%
ValueCountFrequency (%)
97.86666667 1
3.3%
83.20413437 1
3.3%
82.15384615 1
3.3%
81.21019108 1
3.3%
74.38596491 1
3.3%
73.65517241 1
3.3%
73.42342342 1
3.3%
71.29735936 1
3.3%
68.00670017 1
3.3%
65.3024911 1
3.3%

rsi_14
Real number (ℝ)

Unique 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean55.366993
Minimum40.990991
Maximum75.548246
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size480.0 B
2025-07-22T19:49:52.428142image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum40.990991
5-th percentile41.979897
Q149.939192
median54.398805
Q359.031981
95-th percentile70.593967
Maximum75.548246
Range34.557255
Interquartile range (IQR)9.0927893

Descriptive statistics

Standard deviation8.6689622
Coefficient of variation (CV)0.15657275
Kurtosis-0.0096818633
Mean55.366993
Median Absolute Deviation (MAD)4.6502992
Skewness0.43488214
Sum1661.0098
Variance75.150906
MonotonicityNot monotonic
2025-07-22T19:49:52.467689image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
54.16991426 1
 
3.3%
47.74052478 1
 
3.3%
41.58730159 1
 
3.3%
44.43690638 1
 
3.3%
46.68008048 1
 
3.3%
49.07110826 1
 
3.3%
50.56105611 1
 
3.3%
53.37979094 1
 
3.3%
57.27969349 1
 
3.3%
52.38434164 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
40.99099099 1
3.3%
41.58730159 1
3.3%
42.45973646 1
3.3%
44.43690638 1
3.3%
46.68008048 1
3.3%
47.74052478 1
3.3%
49.07110826 1
3.3%
49.73190349 1
3.3%
50.56105611 1
3.3%
51.01427498 1
3.3%
ValueCountFrequency (%)
75.54824561 1
3.3%
72.60273973 1
3.3%
68.13880126 1
3.3%
66.25835189 1
3.3%
64.86928105 1
3.3%
63.9380531 1
3.3%
60.34958602 1
3.3%
59.03250189 1
3.3%
59.03041825 1
3.3%
58.88888889 1
3.3%

rsi_21
Numeric time series

High correlation  Non stationary  Unique 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean55.490187
Minimum43.224299
Maximum67.988464
Zeros0
Zeros (%)0.0%
Memory size480.0 B
2025-07-22T19:49:52.508870image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum43.224299
5-th percentile45.293722
Q149.029012
median56.27475
Q360.226601
95-th percentile66.373502
Maximum67.988464
Range24.764165
Interquartile range (IQR)11.197589

Descriptive statistics

Standard deviation6.8910067
Coefficient of variation (CV)0.12418424
Kurtosis-0.96752244
Mean55.490187
Median Absolute Deviation (MAD)5.1777902
Skewness-0.0086550757
Sum1664.7056
Variance47.485974
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value0.3147001663
2025-07-22T19:49:52.548393image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
2025-07-22T19:49:52.664693image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Gap statistics

number of gaps0
min0
max0
mean0
std0
2025-07-22T19:49:52.690752image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
61.84428493 1
 
3.3%
54.79603087 1
 
3.3%
48.77330716 1
 
3.3%
47.42120344 1
 
3.3%
48.43091335 1
 
3.3%
45.14200299 1
 
3.3%
47.50917672 1
 
3.3%
45.47915539 1
 
3.3%
48.22622108 1
 
3.3%
49.7961264 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
43.22429907 1
3.3%
45.14200299 1
3.3%
45.47915539 1
3.3%
47.42120344 1
3.3%
47.50917672 1
3.3%
48.22622108 1
3.3%
48.43091335 1
3.3%
48.77330716 1
3.3%
49.7961264 1
3.3%
50.96660808 1
3.3%
ValueCountFrequency (%)
67.98846431 1
3.3%
67.06231454 1
3.3%
65.53161918 1
3.3%
64.52750353 1
3.3%
61.84428493 1
3.3%
61.32218845 1
3.3%
61.02212052 1
3.3%
60.24040684 1
3.3%
60.18518519 1
3.3%
60.04618938 1
3.3%
2025-07-22T19:49:52.577248image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ACF and PACF

rsi_60
Real number (ℝ)

High correlation 

Distinct29
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean52.998073
Minimum50.37037
Maximum56.214187
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size480.0 B
2025-07-22T19:49:52.732597image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum50.37037
5-th percentile50.881077
Q151.509932
median53.451076
Q353.954909
95-th percentile54.895737
Maximum56.214187
Range5.8438165
Interquartile range (IQR)2.444977

Descriptive statistics

Standard deviation1.5155756
Coefficient of variation (CV)0.028596805
Kurtosis-0.90702291
Mean52.998073
Median Absolute Deviation (MAD)1.1783639
Skewness-0.094926621
Sum1589.9422
Variance2.2969693
MonotonicityNot monotonic
2025-07-22T19:49:52.772197image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
53.45107592 2
 
6.7%
53.0802738 1
 
3.3%
51.41651597 1
 
3.3%
50.86463924 1
 
3.3%
53.8170347 1
 
3.3%
50.98194803 1
 
3.3%
50.96172913 1
 
3.3%
50.90116855 1
 
3.3%
50.37037037 1
 
3.3%
51.42914654 1
 
3.3%
Other values (19) 19
63.3%
ValueCountFrequency (%)
50.37037037 1
3.3%
50.86463924 1
3.3%
50.90116855 1
3.3%
50.96172913 1
3.3%
50.98194803 1
3.3%
51.27193847 1
3.3%
51.41651597 1
3.3%
51.42914654 1
3.3%
51.75228992 1
3.3%
51.75678519 1
3.3%
ValueCountFrequency (%)
56.21418692 1
3.3%
54.98539841 1
3.3%
54.78615071 1
3.3%
54.66640956 1
3.3%
54.59247 1
3.3%
54.16758788 1
3.3%
54.11338042 1
3.3%
53.96441906 1
3.3%
53.92638037 1
3.3%
53.89353278 1
3.3%

macd_7
Numeric time series

High correlation  Non stationary  Unique 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.31008036
Minimum-0.45084936
Maximum0.78714671
Zeros0
Zeros (%)0.0%
Memory size480.0 B
2025-07-22T19:49:52.815721image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-0.45084936
5-th percentile-0.38661323
Q10.19527114
median0.39448282
Q30.58260784
95-th percentile0.70436165
Maximum0.78714671
Range1.2379961
Interquartile range (IQR)0.3873367

Descriptive statistics

Standard deviation0.35684214
Coefficient of variation (CV)1.1508054
Kurtosis-0.16575889
Mean0.31008036
Median Absolute Deviation (MAD)0.19788168
Skewness-0.91295261
Sum9.3024107
Variance0.12733631
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value0.08654932954
2025-07-22T19:49:52.863533image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
2025-07-22T19:49:52.981794image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Gap statistics

number of gaps0
min0
max0
mean0
std0
2025-07-22T19:49:53.007379image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0.6730429421 1
 
3.3%
0.4685937404 1
 
3.3%
0.05258168773 1
 
3.3%
-0.286386845 1
 
3.3%
-0.4508493635 1
 
3.3%
-0.4271656135 1
 
3.3%
-0.337049202 1
 
3.3%
-0.259019913 1
 
3.3%
-0.00292555325 1
 
3.3%
0.2303238889 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
-0.4508493635 1
3.3%
-0.4271656135 1
3.3%
-0.337049202 1
3.3%
-0.286386845 1
3.3%
-0.259019913 1
3.3%
-0.00292555325 1
3.3%
0.05258168773 1
3.3%
0.1835868905 1
3.3%
0.2303238889 1
3.3%
0.250939168 1
3.3%
ValueCountFrequency (%)
0.7871467083 1
3.3%
0.7299860496 1
3.3%
0.6730429421 1
3.3%
0.6525209067 1
3.3%
0.6359052128 1
3.3%
0.6240675231 1
3.3%
0.6012679171 1
3.3%
0.5834610682 1
3.3%
0.5800481518 1
3.3%
0.5545059574 1
3.3%
2025-07-22T19:49:52.896721image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ACF and PACF

macdsignal_7
Numeric time series

High correlation  Non stationary  Unique 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.30071339
Minimum-0.18831139
Maximum0.97030867
Zeros0
Zeros (%)0.0%
Memory size480.0 B
2025-07-22T19:49:53.052089image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-0.18831139
5-th percentile-0.15958334
Q10.056901938
median0.23434266
Q30.51708364
95-th percentile0.91476444
Maximum0.97030867
Range1.1586201
Interquartile range (IQR)0.4601817

Descriptive statistics

Standard deviation0.34105498
Coefficient of variation (CV)1.134153
Kurtosis-0.65754263
Mean0.30071339
Median Absolute Deviation (MAD)0.20391299
Skewness0.48060337
Sum9.0214016
Variance0.1163185
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value0.07425031051
2025-07-22T19:49:53.095132image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
2025-07-22T19:49:53.212928image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Gap statistics

number of gaps0
min0
max0
mean0
std0
2025-07-22T19:49:53.238578image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0.2473470336 1
 
3.3%
0.1551243285 1
 
3.3%
0.05007483499 1
 
3.3%
-0.09266295746 1
 
3.3%
-0.1485072516 1
 
3.3%
-0.1883113941 1
 
3.3%
-0.1631231118 1
 
3.3%
-0.1552569555 1
 
3.3%
-0.03257259741 1
 
3.3%
0.1349798244 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
-0.1883113941 1
3.3%
-0.1631231118 1
3.3%
-0.1552569555 1
3.3%
-0.1485072516 1
3.3%
-0.09266295746 1
3.3%
-0.03257259741 1
3.3%
0.03418943293 1
3.3%
0.05007483499 1
3.3%
0.07738324815 1
3.3%
0.1349798244 1
3.3%
ValueCountFrequency (%)
0.9703086675 1
3.3%
0.9336602486 1
3.3%
0.8916695618 1
3.3%
0.767169771 1
3.3%
0.766221443 1
3.3%
0.7208885305 1
3.3%
0.5685977733 1
3.3%
0.5421063756 1
3.3%
0.4420154169 1
3.3%
0.3722294427 1
3.3%
2025-07-22T19:49:53.126568image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ACF and PACF

macdhist_7
Numeric time series

High correlation  Non stationary  Seasonal  Unique 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0093669684
Minimum-0.35019918
Maximum0.57513766
Zeros0
Zeros (%)0.0%
Memory size480.0 B
2025-07-22T19:49:53.271561image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-0.35019918
5-th percentile-0.33170401
Q1-0.2645332
median-0.051484499
Q30.23555301
95-th percentile0.54534424
Maximum0.57513766
Range0.92533684
Interquartile range (IQR)0.50008621

Descriptive statistics

Standard deviation0.30258911
Coefficient of variation (CV)32.303847
Kurtosis-0.97972008
Mean0.0093669684
Median Absolute Deviation (MAD)0.23854972
Skewness0.56302007
Sum0.28100905
Variance0.091560169
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value0.01028327326
2025-07-22T19:49:53.308929image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
2025-07-22T19:49:53.442881image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Gap statistics

number of gaps0
min0
max0
mean0
std0
2025-07-22T19:49:53.466669image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0.4256959085 1
 
3.3%
0.3134694119 1
 
3.3%
0.002506852742 1
 
3.3%
-0.1937238875 1
 
3.3%
-0.3023421119 1
 
3.3%
-0.2388542193 1
 
3.3%
-0.1739260902 1
 
3.3%
-0.1037629574 1
 
3.3%
0.02964704416 1
 
3.3%
0.09534406455 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
-0.3501991803 1
3.3%
-0.3344034547 1
3.3%
-0.3284046985 1
3.3%
-0.3176586054 1
3.3%
-0.3109503158 1
3.3%
-0.3023421119 1
3.3%
-0.2904016446 1
3.3%
-0.2730928635 1
3.3%
-0.2388542193 1
3.3%
-0.2334323744 1
3.3%
ValueCountFrequency (%)
0.5751376585 1
3.3%
0.5458587189 1
3.3%
0.5447154414 1
3.3%
0.4601125491 1
3.3%
0.4256959085 1
3.3%
0.3537626195 1
3.3%
0.3134694119 1
3.3%
0.2518380804 1
3.3%
0.1866978029 1
3.3%
0.09534406455 1
3.3%
2025-07-22T19:49:53.340385image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ACF and PACF

obv
Real number (ℝ)

High correlation  Unique 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.61556467
Minimum0.02674551
Maximum7.4149775
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size480.0 B
2025-07-22T19:49:53.505471image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.02674551
5-th percentile0.052499363
Q10.16097047
median0.26429199
Q30.6971696
95-th percentile1.0410948
Maximum7.4149775
Range7.388232
Interquartile range (IQR)0.53619913

Descriptive statistics

Standard deviation1.3229332
Coefficient of variation (CV)2.1491376
Kurtosis26.276795
Mean0.61556467
Median Absolute Deviation (MAD)0.150816
Skewness4.9903737
Sum18.46694
Variance1.7501522
MonotonicityNot monotonic
2025-07-22T19:49:53.545271image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
7.41497747 1
 
3.3%
0.98534589 1
 
3.3%
0.95229495 1
 
3.3%
0.91305697 1
 
3.3%
0.20624248 1
 
3.3%
0.04495964 1
 
3.3%
0.16646663 1
 
3.3%
0.14580148 1
 
3.3%
0.40712784 1
 
3.3%
0.35939545 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
0.02674551 1
3.3%
0.04495964 1
3.3%
0.06171458 1
3.3%
0.06274133 1
3.3%
0.10549585 1
3.3%
0.12221671 1
3.3%
0.14580148 1
3.3%
0.15913841 1
3.3%
0.16646663 1
3.3%
0.16805417 1
3.3%
ValueCountFrequency (%)
7.41497747 1
3.3%
1.08670747 1
3.3%
0.98534589 1
3.3%
0.95229495 1
3.3%
0.91305697 1
3.3%
0.7754895 1
3.3%
0.77408227 1
3.3%
0.72980225 1
3.3%
0.59927165 1
3.3%
0.46296986 1
3.3%

target
Real number (ℝ)

Distinct28
Distinct (%)93.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2501.169
Minimum2497.62
Maximum2502.73
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size480.0 B
2025-07-22T19:49:53.586914image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum2497.62
5-th percentile2498.517
Q12500.3725
median2501.85
Q32502.1275
95-th percentile2502.556
Maximum2502.73
Range5.11
Interquartile range (IQR)1.755

Descriptive statistics

Standard deviation1.3988551
Coefficient of variation (CV)0.00055928051
Kurtosis0.38441711
Mean2501.169
Median Absolute Deviation (MAD)0.41
Skewness-1.1932963
Sum75035.07
Variance1.9567955
MonotonicityNot monotonic
2025-07-22T19:49:53.624845image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
2501.98 2
 
6.7%
2502.13 2
 
6.7%
2498.49 1
 
3.3%
2498.57 1
 
3.3%
2499.87 1
 
3.3%
2500.26 1
 
3.3%
2499.61 1
 
3.3%
2500.71 1
 
3.3%
2502.49 1
 
3.3%
2502.73 1
 
3.3%
Other values (18) 18
60.0%
ValueCountFrequency (%)
2497.62 1
3.3%
2498.49 1
3.3%
2498.55 1
3.3%
2498.57 1
3.3%
2499.61 1
3.3%
2499.87 1
3.3%
2500.14 1
3.3%
2500.26 1
3.3%
2500.71 1
3.3%
2500.98 1
3.3%
ValueCountFrequency (%)
2502.73 1
3.3%
2502.61 1
3.3%
2502.49 1
3.3%
2502.28 1
3.3%
2502.2 1
3.3%
2502.16 1
3.3%
2502.13 2
6.7%
2502.12 1
3.3%
2502.11 1
3.3%
2502.02 1
3.3%

Interactions

2025-07-22T19:49:47.420557image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T19:49:29.836049image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T19:49:30.622803image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T19:49:31.484151image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T19:49:32.271946image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T19:49:33.114377image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T19:49:34.150649image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T19:49:35.070486image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T19:49:35.920566image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T19:49:36.907999image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T19:49:35.401180image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T19:49:36.227838image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T19:49:37.233528image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T19:49:38.042340image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T19:49:38.853276image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T19:49:39.787176image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T19:49:40.611748image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T19:49:41.378392image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
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2025-07-22T19:49:43.078967image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T19:49:43.894440image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
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2025-07-22T19:49:45.730351image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T19:49:46.486835image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T19:49:47.447977image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T19:49:29.870524image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T19:49:30.652592image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T19:49:31.513537image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T19:49:32.306971image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T19:49:33.151579image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T19:49:34.184689image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
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2025-07-22T19:49:35.951494image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T19:49:36.938663image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T19:49:35.436618image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T19:49:36.262994image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T19:49:37.265555image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T19:49:38.071143image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T19:49:38.890759image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T19:49:39.816660image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
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2025-07-22T19:49:41.408092image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
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2025-07-22T19:49:45.757098image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T19:49:46.518087image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T19:49:47.479006image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T19:49:29.899773image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T19:49:30.683909image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T19:49:31.540592image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T19:49:32.337821image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T19:49:33.196118image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T19:49:34.214959image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
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2025-07-22T19:49:37.295558image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
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2025-07-22T19:49:31.571125image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
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2025-07-22T19:49:32.398611image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
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2025-07-22T19:49:38.164561image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
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2025-07-22T19:49:39.922148image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T19:49:40.742816image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T19:49:41.510301image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
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2025-07-22T19:49:34.735154image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T19:49:35.617217image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
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2025-07-22T19:49:39.532353image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T19:49:40.351557image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T19:49:41.120060image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T19:49:42.072207image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T19:49:42.840034image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T19:49:43.601518image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
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2025-07-22T19:49:47.012511image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T19:49:47.950337image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T19:49:30.412357image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T19:49:31.285860image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T19:49:32.060514image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T19:49:32.872600image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T19:49:33.919469image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T19:49:34.780090image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T19:49:35.649254image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T19:49:36.672505image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T19:49:35.173210image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T19:49:35.963665image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T19:49:36.985392image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T19:49:37.812942image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T19:49:38.605277image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T19:49:39.564845image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T19:49:40.384133image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T19:49:41.150187image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T19:49:42.103664image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T19:49:42.871191image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T19:49:43.636046image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T19:49:44.682085image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T19:49:45.497227image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T19:49:46.262457image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T19:49:47.045211image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T19:49:47.978724image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T19:49:30.441214image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T19:49:31.312778image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T19:49:32.087917image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T19:49:32.905226image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T19:49:33.950407image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T19:49:34.819106image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T19:49:35.679674image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T19:49:36.714086image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T19:49:35.202993image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T19:49:35.993525image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T19:49:37.020824image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T19:49:37.843645image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T19:49:38.634611image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T19:49:39.592286image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T19:49:40.414833image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T19:49:41.176679image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T19:49:42.132261image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T19:49:42.898943image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T19:49:43.683268image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T19:49:44.711260image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T19:49:45.536278image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T19:49:46.298077image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T19:49:47.231904image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T19:49:48.006483image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T19:49:30.474293image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T19:49:31.340055image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T19:49:32.116822image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T19:49:32.943368image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T19:49:33.982932image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T19:49:34.850616image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T19:49:35.719906image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T19:49:36.744117image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T19:49:35.232299image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T19:49:36.026532image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T19:49:37.055069image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T19:49:37.874324image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T19:49:38.668429image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T19:49:39.621501image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T19:49:40.447998image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T19:49:41.202944image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T19:49:42.162899image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T19:49:42.933904image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T19:49:43.720731image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T19:49:44.740937image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T19:49:45.577087image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T19:49:46.331891image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T19:49:47.260666image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T19:49:48.036772image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T19:49:30.505036image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T19:49:31.369971image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T19:49:32.148525image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T19:49:32.985346image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T19:49:34.015772image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T19:49:34.892980image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T19:49:35.761439image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T19:49:36.775584image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T19:49:35.266040image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T19:49:36.064959image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T19:49:37.088611image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T19:49:37.909399image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T19:49:38.701424image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T19:49:39.665951image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T19:49:40.482895image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T19:49:41.243406image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T19:49:42.203707image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T19:49:42.962402image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T19:49:43.762325image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T19:49:44.772788image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T19:49:45.606161image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T19:49:46.364519image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T19:49:47.292245image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T19:49:48.068125image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T19:49:30.534748image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T19:49:31.400548image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T19:49:32.177936image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T19:49:33.019199image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T19:49:34.049843image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T19:49:34.969406image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T19:49:35.792189image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T19:49:36.811772image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T19:49:35.299456image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T19:49:36.104416image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T19:49:37.122609image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T19:49:37.941282image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T19:49:38.736432image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T19:49:39.696608image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T19:49:40.516806image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T19:49:41.281418image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
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2025-07-22T19:49:42.990884image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T19:49:43.803286image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T19:49:44.802918image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T19:49:45.638273image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T19:49:46.395190image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T19:49:47.324256image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T19:49:48.096666image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T19:49:30.562072image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T19:49:31.427819image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T19:49:32.206844image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T19:49:33.050127image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T19:49:34.082467image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T19:49:35.004044image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T19:49:35.829503image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T19:49:36.844020image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T19:49:35.331555image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T19:49:36.148639image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T19:49:37.160764image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T19:49:37.973016image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T19:49:38.766553image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T19:49:39.726292image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T19:49:40.547949image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T19:49:41.314908image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T19:49:42.271441image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T19:49:43.017925image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T19:49:43.835089image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
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2025-07-22T19:49:45.668465image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T19:49:46.422325image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T19:49:47.355143image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T19:49:48.129533image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T19:49:30.594978image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T19:49:31.456310image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T19:49:32.236848image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T19:49:33.081352image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T19:49:34.118888image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T19:49:35.038777image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T19:49:35.883762image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T19:49:36.876762image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T19:49:35.367492image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T19:49:36.191556image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T19:49:37.200792image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T19:49:38.006168image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T19:49:38.811466image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T19:49:39.757156image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T19:49:40.580292image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T19:49:41.349895image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T19:49:42.311463image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T19:49:43.047769image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T19:49:43.866228image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T19:49:44.862860image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T19:49:45.700950image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T19:49:46.458296image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T19:49:47.389954image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Correlations

2025-07-22T19:49:53.839569image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
closeema_14ema_21ema_60ema_7highlowmacd_7macdhist_7macdsignal_7obvopenrsi_14rsi_21rsi_60rsi_7sma_14sma_21sma_60sma_7targetvolumewindow_end_mswindow_start_ms
close1.0000.7340.6370.6920.6160.9190.8690.7410.0670.690-0.0430.7920.4600.7590.7740.4660.7340.6370.6920.6160.109-0.0430.6920.692
ema_140.7341.0000.9190.9440.8690.7090.8080.436-0.2890.841-0.1310.8220.3600.7060.6550.1791.0000.9190.9440.8690.316-0.1310.9440.944
ema_210.6370.9191.0000.8720.9480.6640.7460.326-0.3480.718-0.1240.7560.1940.6380.641-0.0260.9191.0000.8720.9480.117-0.1240.8720.872
ema_600.6920.9440.8721.0000.8190.6620.7750.265-0.3710.740-0.3000.7280.3380.5750.5700.0830.9440.8721.0000.8190.390-0.3001.0001.000
ema_70.6160.8690.9480.8191.0000.6640.7190.347-0.1380.625-0.1540.6990.3250.6080.6970.0640.8690.9480.8191.0000.146-0.1540.8190.819
high0.9190.7090.6640.6620.6641.0000.8390.7100.1790.5860.1140.8040.3830.6830.8260.3710.7090.6640.6620.6640.0270.1140.6620.662
low0.8690.8080.7460.7750.7190.8391.0000.638-0.0160.662-0.1160.9000.4560.7200.7520.3050.8080.7460.7750.7190.085-0.1160.7750.775
macd_70.7410.4360.3260.2650.3470.7100.6381.0000.3900.5310.1350.6340.4450.7260.7190.6120.4360.3260.2650.3470.0720.1350.2650.265
macdhist_70.067-0.289-0.348-0.371-0.1380.179-0.0160.3901.000-0.4110.160-0.0880.1410.1060.3210.569-0.289-0.348-0.371-0.138-0.2190.160-0.371-0.371
macdsignal_70.6900.8410.7180.7400.6250.5860.6620.531-0.4111.000-0.0090.7190.3650.6140.4750.2130.8410.7180.7400.6250.329-0.0090.7400.740
obv-0.043-0.131-0.124-0.300-0.1540.114-0.1160.1350.160-0.0091.0000.032-0.172-0.145-0.074-0.004-0.131-0.124-0.300-0.154-0.3491.000-0.300-0.300
open0.7920.8220.7560.7280.6990.8040.9000.634-0.0880.7190.0321.0000.3570.7120.7090.2580.8220.7560.7280.6990.0500.0320.7280.728
rsi_140.4600.3600.1940.3380.3250.3830.4560.4450.1410.365-0.1720.3571.0000.1950.3880.1400.3600.1940.3380.3250.420-0.1720.3380.338
rsi_210.7590.7060.6380.5750.6080.6830.7200.7260.1060.614-0.1450.7120.1951.0000.7260.5570.7060.6380.5750.6080.087-0.1450.5750.575
rsi_600.7740.6550.6410.5700.6970.8260.7520.7190.3210.475-0.0740.7090.3880.7261.0000.4470.6550.6410.5700.697-0.022-0.0740.5700.570
rsi_70.4660.179-0.0260.0830.0640.3710.3050.6120.5690.213-0.0040.2580.1400.5570.4471.0000.179-0.0260.0830.0640.046-0.0040.0830.083
sma_140.7341.0000.9190.9440.8690.7090.8080.436-0.2890.841-0.1310.8220.3600.7060.6550.1791.0000.9190.9440.8690.316-0.1310.9440.944
sma_210.6370.9191.0000.8720.9480.6640.7460.326-0.3480.718-0.1240.7560.1940.6380.641-0.0260.9191.0000.8720.9480.117-0.1240.8720.872
sma_600.6920.9440.8721.0000.8190.6620.7750.265-0.3710.740-0.3000.7280.3380.5750.5700.0830.9440.8721.0000.8190.390-0.3001.0001.000
sma_70.6160.8690.9480.8191.0000.6640.7190.347-0.1380.625-0.1540.6990.3250.6080.6970.0640.8690.9480.8191.0000.146-0.1540.8190.819
target0.1090.3160.1170.3900.1460.0270.0850.072-0.2190.329-0.3490.0500.4200.087-0.0220.0460.3160.1170.3900.1461.000-0.3490.3900.390
volume-0.043-0.131-0.124-0.300-0.1540.114-0.1160.1350.160-0.0091.0000.032-0.172-0.145-0.074-0.004-0.131-0.124-0.300-0.154-0.3491.000-0.300-0.300
window_end_ms0.6920.9440.8721.0000.8190.6620.7750.265-0.3710.740-0.3000.7280.3380.5750.5700.0830.9440.8721.0000.8190.390-0.3001.0001.000
window_start_ms0.6920.9440.8721.0000.8190.6620.7750.265-0.3710.740-0.3000.7280.3380.5750.5700.0830.9440.8721.0000.8190.390-0.3001.0001.000

Missing values

2025-07-22T19:49:48.197433image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
A simple visualization of nullity by column.
2025-07-22T19:49:48.266016image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

openhighlowclosewindow_start_mswindow_end_msvolumesma_7sma_14sma_21sma_60ema_7ema_14ema_21ema_60rsi_7rsi_14rsi_21rsi_60macd_7macdsignal_7macdhist_7obvtarget
17523462000002501.212501.232500.842501.23175234620000017523462600007.412499.832499.412499.272498.072499.832499.412499.272498.0771.3054.1761.8453.820.670.250.437.412498.57
17523462600002500.202501.112499.942499.94175234626000017523463200000.992500.172499.372499.362498.122500.172499.372499.362498.1261.8347.7454.8053.080.470.160.310.992498.55
17523463200002499.952499.952497.692497.69175234632000017523463800000.952499.902499.182499.332498.142499.902499.182499.332498.1440.6741.5948.7751.420.050.050.000.952498.49
17523463800002497.622498.082496.582497.12175234638000017523464400000.912499.732499.062499.282498.162499.732499.062499.282498.1643.6744.4447.4250.86-0.29-0.09-0.190.912499.87
17523464400002498.112498.222497.522497.53175234644000017523465000000.212499.592498.992499.252498.182499.592498.992499.252498.1845.0646.6848.4351.27-0.45-0.15-0.300.212500.26
17523465000002498.042498.572497.872498.57175234650000017523465600000.042499.222498.972499.162498.192499.222498.972499.162498.1933.9949.0745.1450.98-0.43-0.19-0.240.042500.71
17523465600002498.562498.562498.552498.55175234656000017523466200000.172498.662498.982499.112498.212498.662498.982499.112498.2121.2950.5647.5150.96-0.34-0.16-0.170.172499.61
17523466200002498.562498.562498.392498.49175234662000017523466800000.152498.272499.052499.032498.222498.272499.052499.032498.2225.7153.3845.4850.90-0.26-0.16-0.100.152502.49
17523466800002498.562500.872498.562499.87175234668000017523467400000.412498.262499.212499.002498.232498.262499.212499.002498.2349.3957.2848.2350.37-0.00-0.030.030.412502.73
17523467400002499.662500.272499.662500.26175234674000017523468000000.362498.632499.262499.002498.252498.632499.262499.002498.2583.2052.3849.8051.430.230.130.100.362501.92
openhighlowclosewindow_start_mswindow_end_msvolumesma_7sma_14sma_21sma_60ema_7ema_14ema_21ema_60rsi_7rsi_14rsi_21rsi_60macd_7macdsignal_7macdhist_7obvtarget
17523474000002499.932500.982499.932500.14175234740000017523474600000.462501.472501.032500.242498.952501.472501.032500.242498.9516.0157.7143.2251.760.250.57-0.320.462502.13
17523474600002502.132502.132502.132502.13175234746000017523475200000.272501.502501.292500.292499.012501.502501.292500.292499.0152.1064.8752.5253.450.460.77-0.310.272501.46
17523475200002502.652502.662501.882502.12175234752000017523475800001.092501.522501.452500.392499.062501.522501.452500.392499.0651.0260.3556.5753.450.580.93-0.351.092501.53
17523475800002501.912502.172501.892502.16175234758000017523476400000.202501.542501.592500.602499.122501.542501.592500.602499.1251.8459.0365.5353.710.640.97-0.330.202502.61
17523476400002501.902502.132501.892502.11175234764000017523477000000.032501.592501.692500.842499.192501.592501.692500.842499.1953.4756.9267.9953.930.600.89-0.290.032501.98
17523477000002502.042502.132501.252502.13175234770000017523477600000.172501.752501.872501.062499.262501.752501.872501.062499.2664.4863.9467.0654.590.530.77-0.230.172501.97
17523477600002502.122502.132501.182501.46175234776000017523478200000.282501.752501.802501.202499.292501.752501.802501.202499.2949.6442.4661.0251.990.390.72-0.330.282502.28
17523478200002501.192501.532501.182501.53175234782000017523478800000.062501.952501.712501.342499.352501.952501.712501.342499.3574.3940.9961.3253.960.270.54-0.270.062502.20
17523478800002501.982502.692501.982502.61175234788000017523479400000.162502.022501.762501.532499.412502.022501.762501.532499.4162.3754.9864.5353.890.270.37-0.100.162501.18
17523479400002501.992502.542501.982501.98175234794000017523480000000.732502.002501.762501.642499.472502.002501.762501.642499.4747.2749.7357.8654.170.180.22-0.040.732497.62